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Publications

Multimodal Imaging Brain Markers in Early Adolescence Are Linked with a Physically Active Lifestyle

Salvan P. et al, (2021), The Journal of Neuroscience, 41, 1092 - 1104

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.

Fitzgibbon SP. et al, (2020), Neuroimage, 223

Modelling subject variability in the spatial and temporal characteristics of functional modes.

Harrison SJ. et al, (2020), Neuroimage, 222

Detecting connectivity in EEG: A comparative study of data-driven effective connectivity measures.

Bakhshayesh H. et al, (2019), Comput Biol Med, 111

Detecting synchrony in EEG: A comparative study of functional connectivity measures.

Bakhshayesh H. et al, (2019), Comput Biol Med, 105, 1 - 15

Optimising neonatal fMRI data analysis: Design and validation of an extended dHCP preprocessing pipeline to characterise noxious-evoked brain activity in infants

Baxter L. et al, (2019), NeuroImage, 186, 286 - 300

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project

Bastiani M. et al, (2019), NeuroImage, 185, 750 - 763

Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction

Bastiani M. et al, (2019), NeuroImage, 184, 801 - 812

Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project

Bozek J. et al, (2018), NeuroImage, 179, 11 - 29

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction

Makropoulos A. et al, (2018), NeuroImage, 173, 88 - 112

Improved artefact removal from EEG using Canonical Correlation Analysis and spectral slope

Janani AS. et al, (2018), Journal of Neuroscience Methods, 298, 1 - 15

Towards Detecting Connectivity in EEG: A Comparative Study of Parameters of Effective Connectivity Measures on Simulated Data

Bakhshayesh H. et al, (2018), 2018 IEEE-EMBS CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES), 297 - 301

Evaluation of a minimum-norm based beamforming technique, sLORETA, for reducing tonic muscle contamination of EEG at sensor level

Janani AS. et al, (2017), Journal of Neuroscience Methods, 288, 17 - 28

Hand classification of fMRI ICA noise components

Griffanti L. et al, (2017), NeuroImage, 154, 188 - 205

Reducing training requirements through evolutionary based dimension reduction and subject transfer

Atyabi A. et al, (2017), Neurocomputing, 224, 19 - 36

Electroencephalographic correlates of states of concentrative meditation

DeLosAngeles D. et al, (2016), International Journal of Psychophysiology, 110, 27 - 39

Construction of a neonatal cortical surface atlas using multimodal surface matching

Bozek J. et al, (2016), 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)

Automatic determination of EMG-contaminated components and validation of independent component analysis using EEG during pharmacologic paralysis

Fitzgibbon SP. et al, (2016), Clinical Neurophysiology, 127, 1781 - 1793

Cross subject mental work load classification from electroencephalographic signals with automatic artifact rejection and muscle pruning

Kunjan S. et al, (2016), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9919 LNAI, 295 - 303

Cross Subject Mental Work Load Classification from Electroencephalographic Signals with Automatic Artifact Rejection and Muscle Pruning

Kunjan S. et al, (2016), 295 - 303

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